I reinstalled three times, cleared the extension cache, and signed out and back in twice before I found the usage page. Two hours gone.
What I'd tell anyone on any free tier: before you debug the client, check the meter. Free tiers almost never fail loudly: they degrade or go quiet, because a loud failure looks bad in a screenshot.
The bean is fighting you. Cold water pulls out much less of everything, and it is especially bad at the acids and aromatics that make a light washed Ethiopian worth drinking, so what you get is the boring middle of the coffee. Light roasts are also physically harder, so they give up less at any given time.
Two changes: brew at room temperature for twelve to fourteen hours rather than eighteen in the fridge, and use a medium roast with some body to it. Fridge brewing is slower and gentler, which is exactly the wrong direction for a bean that is already reluctant.
Separate from logging, make the crash itself say something. A terminationMessagePath that captures the fatal error means kubectl describe pod tells you why the last container died even when the logs are gone, and restart reason plus exit code in the pod status is often enough to identify an OOMKill or a failed liveness probe without any log stack at all.
Creeping fig will take over completely given a year, so plant it knowing you are signing up for regular trimming. That is a fine trade for a tank that looks alive in three months rather than twelve.
I lost an always-free Arm instance to the idle reclamation rule and it was entirely my own fault, it was a hobby bot that did roughly nothing for a week at a time.
Fix was boring: a small scheduled job that does real work every few hours, plus taking a backup of the boot volume once a month so a reclaim costs me twenty minutes instead of a weekend. If you take one of these, assume it can vanish and make that survivable.
Counterpoint for the Pi, since nobody has made it: if your library is already in a format your clients handle natively, direct play is the norm and the Pi 5 with NVMe is genuinely lovely. Silent, tiny, boots in seconds. I ran exactly that for two years. I only moved because a family member started watching on a work laptop that could not handle anything.
Also confirm the clock on the machine is actually being synced. A Pi with no battery backed clock and a broken NTP config drifts, and I have seen a box sit an hour out after a power cut because it restored a stale time and never corrected. timedatectl will tell you in one line whether NTP is active and synchronised.
Second thing to rule out is DHCP. Some ISP routers hand out short leases and the Zero 2 sometimes fails the renewal after a sleep, then sits there with no address while everything else on the board carries on. Give it a static reservation on the router side, not a static IP on the Pi, and see if the pattern changes.
Read the event string literally, phrase by phrase, because each clause is a different predicate failing on a different subset of nodes and they add up to six.
Insufficient cpu or memory means the requests do not fit in what is left. node(s) had untolerated taint means a taint. node(s) didn't match Pod's node affinity/selector means your nodeSelector. didn't match pod topology spread constraints means the skew rule. node(s) had volume node affinity conflict means the PV is pinned to a zone.
The sum across clauses will equal your node count. If two clauses account for five nodes and one for the last, you have two separate problems, which is why nine scheduled and one did not.
Strong agree. The other version of this is deleting the topology spread constraint entirely because it was in the way, then discovering during a zone outage exactly why somebody put it there.
Worth adding a slice of mushroom or a piece of squash on the substrate for a few days. It concentrates the springtails visibly and gives you a real sense of whether the population is establishing or not.
Rolling window, undocumented, changes often. Timestamp three cycles if you must know, batch your questions if you just want more out of it, and never automate against it.
writing this test today. the fact that new routes get covered automatically because they exist is exactly what i need, since the failure mode was me forgetting, not me not knowing.
our routes are flat right now, /api/projects/:id, so the org only appears after the lookup. restructuring the paths is a bigger change but i can see it removes the whole class of mistake.
Careful with fewer bigger nodes as a conclusion. Three things bite.
Blast radius: losing one node out of three when they are large means losing a third of your capacity at once, and the remaining two have to have headroom for it or nothing reschedules.
Pod density limits: the default cap is 110 pods per node and on AWS with the VPC CNI your real limit is often the number of IPs the instance type supports, which can be far lower than the memory would suggest.
Bin packing: one enormous node is worse at absorbing a burst of medium pods than two smaller ones in some scheduling patterns, especially with anti-affinity in play.
Mid-size and more of them has been the least painful setting for us.
Depends entirely on the house and on your policy wording, so ask both directly. Mine wanted a certificate naming them, and my broker issued it in a day once I asked for exactly that.
I used a sheet of acrylic cut at a hardware shop for a few dollars and left a two inch strip open at the front. Went from 45 percent in the afternoon to a steady 75 and never looked back.
I stopped taking commissions after two years and the reason wasn't money, it was that sentimental books arrive with sentimental expectations. A family bible where the customer hasn't quite accepted that the water damage is permanent is an emotional job as much as a technical one, and I could never work out how to price the four phone calls and the disappointment. I still bind constantly, just for myself and as gifts, and I enjoy it about ten times as much as I did when it had invoices attached.
The state trigger detail people miss: trigger on from not_home to home explicitly, not just to home. Without the from clause, any attribute update while already home can re-trigger, which produces the same duplicate behaviour with only one person involved and is much harder to spot.